Senior Principal AI Scientist - Personalized Learning & RAG

Preply; Barcelona; Presencial; EUR 110.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Lessons allowance

Self-development leave

Equity

Health insurance

Mental health support

Competitive package

Descripción de la vacante

Preply in Barcelona seeks a Senior Principal Applied AI Scientist to lead AI-driven personalized learning solutions and shape the scientific roadmap. You will architect state-of-the-art models with a world-class team to improve learning for millions of users and advise leadership on technology directions.

This role combines autonomy with cross-functional influence, translating research into scalable products, mentoring scientists, and promoting ML best practices across the organization.

Formación

• PhD in NLP, IR, ML or related field (or equivalent experience).
• 8+ years of industry experience with deep learning-based NLP and LLMs.
• Experience with retrieval models and ranking models.
• Proficiency with PyTorch and cloud platforms.
• Strong leadership, mentorship, and cross-functional collaboration.

Responsabilidades

• Design and deploy scalable ML solutions for personalized learning.
• Develop long-term scientific roadmaps aligned with product goals.
• Collaborate with product and engineering to translate research into products.
• Mentor scientists and engineers to build an innovative science team.
• Establish ML best practices across architecture and deployment.

Conocimientos

PyTorch

NLP

Deep learning

LLMs

AWS

Google Cloud

Retrieval models

IR methods

Leadership

Mentorship

Cross-functional teamwork

Educación

PhD in NLP/IR/ML

Herramientas

AWS

Google Cloud

Descripción del empleo

Preply in Barcelona seeks a Senior Principal Applied AI Scientist to lead AI-driven personalized learning solutions and shape the scientific roadmap. You will architect state-of-the-art models with a world-class team to improve learning for millions of users and advise leadership on technology directions.

This role combines autonomy with cross-functional influence, translating research into scalable products, mentoring scientists, and promoting ML best practices across the organization.